TY - JOUR
T1 - Real-world evidence and product development
T2 - Opportunities, challenges and risk mitigation
AU - Naidoo, Poobalan
AU - Bouharati, Célia
AU - Rambiritch, Virendra
AU - Jose, Nadina
AU - Karamchand, Sumanth
AU - Chilton, Robert
AU - Leisegang, Rory
N1 - Publisher Copyright:
© 2021, Springer-Verlag GmbH Austria, part of Springer Nature.
PY - 2021/8
Y1 - 2021/8
N2 - Real-world evidence (RWE) is derived from real-world data (RWD) sources including electronic health records, claims data, registries (disease, product) and pragmatic clinical trials. The importance of RWE derived from RWD has been once again demonstrated during the coronavirus disease 2019 (COVID-19) pandemic, as it can improve patient care by complementing information obtained from traditional clinical trial programs. Additionally, RWE can generate insights into disease mechanisms, epidemiology, patient flows in and out of healthcare systems, and drivers and barriers to optimal clinical care in real-world settings. Identifying unmet medical needs is crucial as it often can inform which investigational new drugs enter clinical trial testing, and RWE studies from hospital settings have contributed substantial progress here. RWE can also optimize the design of clinical studies, inform benefit risk assessments and use networks of pragmatic studies to help with clinical trial feasibilities and eventual trial initiation. The challenges of RWD include data quality, reproducibility and accuracy which may affect validity. RWD and RWE must be fit for purpose and one must be cognizant of inherent biases.
AB - Real-world evidence (RWE) is derived from real-world data (RWD) sources including electronic health records, claims data, registries (disease, product) and pragmatic clinical trials. The importance of RWE derived from RWD has been once again demonstrated during the coronavirus disease 2019 (COVID-19) pandemic, as it can improve patient care by complementing information obtained from traditional clinical trial programs. Additionally, RWE can generate insights into disease mechanisms, epidemiology, patient flows in and out of healthcare systems, and drivers and barriers to optimal clinical care in real-world settings. Identifying unmet medical needs is crucial as it often can inform which investigational new drugs enter clinical trial testing, and RWE studies from hospital settings have contributed substantial progress here. RWE can also optimize the design of clinical studies, inform benefit risk assessments and use networks of pragmatic studies to help with clinical trial feasibilities and eventual trial initiation. The challenges of RWD include data quality, reproducibility and accuracy which may affect validity. RWD and RWE must be fit for purpose and one must be cognizant of inherent biases.
KW - Cost Reduction
KW - Product lifecycle
KW - Real-world data
KW - Routine clinical practice
KW - Systematic error
UR - http://www.scopus.com/inward/record.url?scp=85104124248&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104124248&partnerID=8YFLogxK
U2 - 10.1007/s00508-021-01851-w
DO - 10.1007/s00508-021-01851-w
M3 - Review article
C2 - 33837463
AN - SCOPUS:85104124248
SN - 0043-5325
VL - 133
SP - 840
EP - 846
JO - Wiener Klinische Wochenschrift
JF - Wiener Klinische Wochenschrift
IS - 15-16
ER -